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STAT 650

Applied Stochastic Processes

3 Credits

Basic concepts of stochastic processes. Markov processes (discrete and continuous parameters), Random walks, Poisson processes, Birth and death processes. Renewal processes and basic limit theorems. Discrete time martingales, stopping times, optional sampling theorem. Applications from theories of stochastic epidemics, survival analysis and others.

Prerequisites & course information

Additional Information: Students must have prior coursework similar to the content offered in undergraduate course STAT410 .

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